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  <div class="headertitle"><div class="title">shark::AbstractKernelFunction&lt; InputTypeT &gt; Class Template Reference<span class="mlabels"><span class="mlabel">abstract</span></span><div class="ingroups"><a class="el" href="group__models.html">Models</a> &raquo; <a class="el" href="group__kernels.html">Kernels</a></div></div></div>
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<p>Base class of all Kernel functions.  
 <a href="classshark_1_1_abstract_kernel_function.html#details">More...</a></p>

<p><code>#include &lt;<a class="el" href="_abstract_kernel_function_8h_source.html">shark/Models/Kernels/AbstractKernelFunction.h</a>&gt;</code></p>
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  <img id="dynsection-0-trigger" src="closed.png" alt="+"/> Inheritance diagram for shark::AbstractKernelFunction&lt; InputTypeT &gt;:</div>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-types" name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:af54c80ca837961761506e6c2eec15bde" id="r_af54c80ca837961761506e6c2eec15bde"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bde">Feature</a> { <a class="el" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bdead621a9ae065d91a154055a38a7ea72f8">HAS_FIRST_PARAMETER_DERIVATIVE</a> = 1
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<tr class="memdesc:af54c80ca837961761506e6c2eec15bde"><td class="mdescLeft">&#160;</td><td class="mdescRight">enumerations of kerneland metric features (flags)  <a href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bde">More...</a><br /></td></tr>
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<tr class="memdesc:a808acb34b9c95c6af0f48177d554bd59"><td class="mdescLeft">&#160;</td><td class="mdescRight">Input type of the Kernel.  <br /></td></tr>
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<tr class="memdesc:adbf700c2ece7236c70cef4b88777a733"><td class="mdescLeft">&#160;</td><td class="mdescRight">batch input type of the kernel  <br /></td></tr>
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<tr class="memdesc:a63fdfe8b374750b9fa8288e06a666919"><td class="mdescLeft">&#160;</td><td class="mdescRight">This statement declares the member m_features. See <a class="el" href="_flags_8h.html">Core/Flags.h</a> for details.  <br /></td></tr>
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<tr class="inherit_header pub_types_classshark_1_1_abstract_metric"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classshark_1_1_abstract_metric')"><img src="closed.png" alt="-"/>&#160;Public Types inherited from <a class="el" href="classshark_1_1_abstract_metric.html">shark::AbstractMetric&lt; InputTypeT &gt;</a></td></tr>
<tr class="memitem:a8ef376e183e0fac88fc9234204c75569 inherit pub_types_classshark_1_1_abstract_metric" id="r_a8ef376e183e0fac88fc9234204c75569"><td class="memItemLeft" align="right" valign="top">typedef InputTypeT&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_metric.html#a8ef376e183e0fac88fc9234204c75569">InputType</a></td></tr>
<tr class="memdesc:a8ef376e183e0fac88fc9234204c75569 inherit pub_types_classshark_1_1_abstract_metric"><td class="mdescLeft">&#160;</td><td class="mdescRight">Input type of the Kernel.  <br /></td></tr>
<tr class="separator:a8ef376e183e0fac88fc9234204c75569 inherit pub_types_classshark_1_1_abstract_metric"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3ed2427fcee73de8368e0e24ce61cada inherit pub_types_classshark_1_1_abstract_metric" id="r_a3ed2427fcee73de8368e0e24ce61cada"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="structshark_1_1_batch.html">Batch</a>&lt; InputTypeT &gt;::type&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_metric.html#a3ed2427fcee73de8368e0e24ce61cada">BatchInputType</a></td></tr>
<tr class="memdesc:a3ed2427fcee73de8368e0e24ce61cada inherit pub_types_classshark_1_1_abstract_metric"><td class="mdescLeft">&#160;</td><td class="mdescRight">batch input type of the kernel  <br /></td></tr>
<tr class="separator:a3ed2427fcee73de8368e0e24ce61cada inherit pub_types_classshark_1_1_abstract_metric"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad56b88ee5dab414cc3fe71ef6a36aa19 inherit pub_types_classshark_1_1_abstract_metric" id="r_ad56b88ee5dab414cc3fe71ef6a36aa19"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="structshark_1_1_const_proxy_reference.html">ConstProxyReference</a>&lt; InputTypeconst &gt;::type&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_metric.html#ad56b88ee5dab414cc3fe71ef6a36aa19">ConstInputReference</a></td></tr>
<tr class="memdesc:ad56b88ee5dab414cc3fe71ef6a36aa19 inherit pub_types_classshark_1_1_abstract_metric"><td class="mdescLeft">&#160;</td><td class="mdescRight">Const references to InputType.  <br /></td></tr>
<tr class="separator:ad56b88ee5dab414cc3fe71ef6a36aa19 inherit pub_types_classshark_1_1_abstract_metric"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aded3435936965bcee46366318e37cbc9 inherit pub_types_classshark_1_1_abstract_metric" id="r_aded3435936965bcee46366318e37cbc9"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="structshark_1_1_const_proxy_reference.html">ConstProxyReference</a>&lt; BatchInputTypeconst &gt;::type&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_metric.html#aded3435936965bcee46366318e37cbc9">ConstBatchInputReference</a></td></tr>
<tr class="memdesc:aded3435936965bcee46366318e37cbc9 inherit pub_types_classshark_1_1_abstract_metric"><td class="mdescLeft">&#160;</td><td class="mdescRight">Const references to BatchInputType.  <br /></td></tr>
<tr class="separator:aded3435936965bcee46366318e37cbc9 inherit pub_types_classshark_1_1_abstract_metric"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_types_classshark_1_1_i_parameterizable"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classshark_1_1_i_parameterizable')"><img src="closed.png" alt="-"/>&#160;Public Types inherited from <a class="el" href="classshark_1_1_i_parameterizable.html">shark::IParameterizable&lt; VectorType &gt;</a></td></tr>
<tr class="memitem:a2ad5e2e60b2b352988b41f46024d790b inherit pub_types_classshark_1_1_i_parameterizable" id="r_a2ad5e2e60b2b352988b41f46024d790b"><td class="memItemLeft" align="right" valign="top">typedef <a class="el" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_parameterizable.html#a2ad5e2e60b2b352988b41f46024d790b">ParameterVectorType</a></td></tr>
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</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pub-methods" name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:a81ed7e2e580d7967ba21d82cf8105c4c" id="r_a81ed7e2e580d7967ba21d82cf8105c4c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a81ed7e2e580d7967ba21d82cf8105c4c">AbstractKernelFunction</a> ()</td></tr>
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<tr class="memitem:ad813e7a91adf505e31224fba2e0ee8d1" id="r_ad813e7a91adf505e31224fba2e0ee8d1"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classshark_1_1_abstract_kernel_function.html#a63fdfe8b374750b9fa8288e06a666919">Features</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#ad813e7a91adf505e31224fba2e0ee8d1">features</a> () const</td></tr>
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<tr class="memitem:a6e65f245e63e075562917986673b99af" id="r_a6e65f245e63e075562917986673b99af"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a6e65f245e63e075562917986673b99af">updateFeatures</a> ()</td></tr>
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<tr class="memitem:ac0c799ac75db64200256ed50d34d2411" id="r_ac0c799ac75db64200256ed50d34d2411"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#ac0c799ac75db64200256ed50d34d2411">hasFirstParameterDerivative</a> () const</td></tr>
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<tr class="memitem:a505ca00275044073f08aae949127a76f" id="r_a505ca00275044073f08aae949127a76f"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a505ca00275044073f08aae949127a76f">hasFirstInputDerivative</a> () const</td></tr>
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<tr class="memitem:a3b60def6354aac30a9c2ce5bffa6f9ae" id="r_a3b60def6354aac30a9c2ce5bffa6f9ae"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a3b60def6354aac30a9c2ce5bffa6f9ae">isNormalized</a> () const</td></tr>
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<tr class="memitem:a225fbad3a0efdac21e4422576de2ce4e" id="r_a225fbad3a0efdac21e4422576de2ce4e"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a225fbad3a0efdac21e4422576de2ce4e">supportsVariableInputSize</a> () const</td></tr>
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<tr class="memitem:a9057a4a71b4d28febb171e09bbd22c07" id="r_a9057a4a71b4d28febb171e09bbd22c07"><td class="memItemLeft" align="right" valign="top">virtual boost::shared_ptr&lt; <a class="el" href="structshark_1_1_state.html">State</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a9057a4a71b4d28febb171e09bbd22c07">createState</a> () const</td></tr>
<tr class="memdesc:a9057a4a71b4d28febb171e09bbd22c07"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates an internal state of the kernel.  <br /></td></tr>
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<tr class="memitem:abd10e3815efade90c7f9e2a7cc8bcb6c" id="r_abd10e3815efade90c7f9e2a7cc8bcb6c"><td class="memItemLeft" align="right" valign="top">virtual double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#abd10e3815efade90c7f9e2a7cc8bcb6c">eval</a> (<a class="el" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3">ConstInputReference</a> x1, <a class="el" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3">ConstInputReference</a> x2) const</td></tr>
<tr class="memdesc:abd10e3815efade90c7f9e2a7cc8bcb6c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Evaluates the kernel function.  <br /></td></tr>
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<tr class="memitem:a187783089e5ee24875e43b8865b1a46e" id="r_a187783089e5ee24875e43b8865b1a46e"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a187783089e5ee24875e43b8865b1a46e">operator()</a> (<a class="el" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3">ConstInputReference</a> x1, <a class="el" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3">ConstInputReference</a> x2) const</td></tr>
<tr class="memdesc:a187783089e5ee24875e43b8865b1a46e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Convenience operator which evaluates the kernel function.  <br /></td></tr>
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<tr class="memitem:af9edfdfdd3cbee76f67f47cf244f8b3b" id="r_af9edfdfdd3cbee76f67f47cf244f8b3b"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#af9edfdfdd3cbee76f67f47cf244f8b3b">eval</a> (<a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a> batchX1, <a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a> batchX2, RealMatrix &amp;result, <a class="el" href="structshark_1_1_state.html">State</a> &amp;state) const =0</td></tr>
<tr class="memdesc:af9edfdfdd3cbee76f67f47cf244f8b3b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Evaluates the subset of the KernelGram matrix which is defined by X1(rows) and X2 (columns).  <br /></td></tr>
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<tr class="memitem:abfb9bc53f137dc1e28bf875e8851c26b" id="r_abfb9bc53f137dc1e28bf875e8851c26b"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#abfb9bc53f137dc1e28bf875e8851c26b">eval</a> (<a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a> batchX1, <a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a> batchX2, RealMatrix &amp;result) const</td></tr>
<tr class="memdesc:abfb9bc53f137dc1e28bf875e8851c26b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Evaluates the subset of the KernelGram matrix which is defined by X1(rows) and X2 (columns).  <br /></td></tr>
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<tr class="memitem:a2d5586ade0c39f0513c8e53ec5f99ed6" id="r_a2d5586ade0c39f0513c8e53ec5f99ed6"><td class="memItemLeft" align="right" valign="top">RealMatrix&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a2d5586ade0c39f0513c8e53ec5f99ed6">operator()</a> (<a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a> batchX1, <a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a> batchX2) const</td></tr>
<tr class="memdesc:a2d5586ade0c39f0513c8e53ec5f99ed6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Evaluates the subset of the KernelGram matrix which is defined by X1(rows) and X2 (columns).  <br /></td></tr>
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<tr class="memitem:a48557b9834bc06ccb4e005ce441904c8" id="r_a48557b9834bc06ccb4e005ce441904c8"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a48557b9834bc06ccb4e005ce441904c8">weightedParameterDerivative</a> (<a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a> batchX1, <a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a> batchX2, RealMatrix const &amp;coefficients, <a class="el" href="structshark_1_1_state.html">State</a> const &amp;state, RealVector &amp;gradient) const</td></tr>
<tr class="memdesc:a48557b9834bc06ccb4e005ce441904c8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the gradient of the parameters as a weighted sum over the gradient of all elements of the batch.  <br /></td></tr>
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<tr class="memitem:af534a7a45f73baab879c2f0bfb75f00a" id="r_af534a7a45f73baab879c2f0bfb75f00a"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#af534a7a45f73baab879c2f0bfb75f00a">weightedInputDerivative</a> (<a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a> batchX1, <a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a> batchX2, RealMatrix const &amp;coefficientsX2, <a class="el" href="structshark_1_1_state.html">State</a> const &amp;state, <a class="el" href="classshark_1_1_abstract_kernel_function.html#adbf700c2ece7236c70cef4b88777a733">BatchInputType</a> &amp;gradient) const</td></tr>
<tr class="memdesc:af534a7a45f73baab879c2f0bfb75f00a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Calculates the derivative of the inputs X1 (only x1!).  <br /></td></tr>
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<tr class="memitem:a4526b02196952d7af3bc76633c8bd6b7" id="r_a4526b02196952d7af3bc76633c8bd6b7"><td class="memItemLeft" align="right" valign="top">virtual double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a4526b02196952d7af3bc76633c8bd6b7">featureDistanceSqr</a> (<a class="el" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3">ConstInputReference</a> x1, <a class="el" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3">ConstInputReference</a> x2) const</td></tr>
<tr class="memdesc:a4526b02196952d7af3bc76633c8bd6b7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the squared distance in the kernel induced feature space.  <br /></td></tr>
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<tr class="memitem:a5abde1fffe84a51cb07c2242eef632ef" id="r_a5abde1fffe84a51cb07c2242eef632ef"><td class="memItemLeft" align="right" valign="top">virtual RealMatrix&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a5abde1fffe84a51cb07c2242eef632ef">featureDistanceSqr</a> (<a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a> batchX1, <a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a> batchX2) const</td></tr>
<tr class="memdesc:a5abde1fffe84a51cb07c2242eef632ef"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the squared distance in the kernel induced feature space.  <br /></td></tr>
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<tr class="inherit_header pub_methods_classshark_1_1_abstract_metric"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classshark_1_1_abstract_metric')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classshark_1_1_abstract_metric.html">shark::AbstractMetric&lt; InputTypeT &gt;</a></td></tr>
<tr class="memitem:aeb00f4cd45e33127a8e0580aa8f1e6f0 inherit pub_methods_classshark_1_1_abstract_metric" id="r_aeb00f4cd45e33127a8e0580aa8f1e6f0"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_metric.html#aeb00f4cd45e33127a8e0580aa8f1e6f0">AbstractMetric</a> ()</td></tr>
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<tr class="memitem:a137acb940aeb83bc435414651b347db9 inherit pub_methods_classshark_1_1_abstract_metric" id="r_a137acb940aeb83bc435414651b347db9"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_metric.html#a137acb940aeb83bc435414651b347db9">~AbstractMetric</a> ()</td></tr>
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<tr class="memitem:a8286ec6f54f35ab53a92d42cb251d6e4 inherit pub_methods_classshark_1_1_abstract_metric" id="r_a8286ec6f54f35ab53a92d42cb251d6e4"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_metric.html#a8286ec6f54f35ab53a92d42cb251d6e4">read</a> (<a class="el" href="namespaceshark.html#ada68729491840669e47c8ad42282424f">InArchive</a> &amp;archive)</td></tr>
<tr class="memdesc:a8286ec6f54f35ab53a92d42cb251d6e4 inherit pub_methods_classshark_1_1_abstract_metric"><td class="mdescLeft">&#160;</td><td class="mdescRight">From <a class="el" href="classshark_1_1_i_serializable.html" title="Abstracts serializing functionality.">ISerializable</a>, reads a metric from an archive.  <br /></td></tr>
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<tr class="memitem:a525c9c1f3d9af398bb257b8e42cafe24 inherit pub_methods_classshark_1_1_abstract_metric" id="r_a525c9c1f3d9af398bb257b8e42cafe24"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_metric.html#a525c9c1f3d9af398bb257b8e42cafe24">write</a> (<a class="el" href="namespaceshark.html#af4f8eb8e9618f5236b71bbcb12b8a524">OutArchive</a> &amp;archive) const</td></tr>
<tr class="memdesc:a525c9c1f3d9af398bb257b8e42cafe24 inherit pub_methods_classshark_1_1_abstract_metric"><td class="mdescLeft">&#160;</td><td class="mdescRight">From <a class="el" href="classshark_1_1_i_serializable.html" title="Abstracts serializing functionality.">ISerializable</a>, writes a metric to an archive.  <br /></td></tr>
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<tr class="memitem:a7daef46282ceda23dd469bc51afacf14 inherit pub_methods_classshark_1_1_abstract_metric" id="r_a7daef46282ceda23dd469bc51afacf14"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_metric.html#a7daef46282ceda23dd469bc51afacf14">featureDistance</a> (<a class="el" href="classshark_1_1_abstract_metric.html#ad56b88ee5dab414cc3fe71ef6a36aa19">ConstInputReference</a> x1, <a class="el" href="classshark_1_1_abstract_metric.html#ad56b88ee5dab414cc3fe71ef6a36aa19">ConstInputReference</a> x2) const</td></tr>
<tr class="memdesc:a7daef46282ceda23dd469bc51afacf14 inherit pub_methods_classshark_1_1_abstract_metric"><td class="mdescLeft">&#160;</td><td class="mdescRight">Computes the distance in the kernel induced feature space.  <br /></td></tr>
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<tr class="inherit_header pub_methods_classshark_1_1_i_nameable"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classshark_1_1_i_nameable')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classshark_1_1_i_nameable.html">shark::INameable</a></td></tr>
<tr class="memitem:a877dbdfc6b58ea836495143cea44a98c inherit pub_methods_classshark_1_1_i_nameable" id="r_a877dbdfc6b58ea836495143cea44a98c"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_nameable.html#a877dbdfc6b58ea836495143cea44a98c">~INameable</a> ()</td></tr>
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<tr class="memitem:a9893f99314de30cd472e649c235d0db4 inherit pub_methods_classshark_1_1_i_nameable" id="r_a9893f99314de30cd472e649c235d0db4"><td class="memItemLeft" align="right" valign="top">virtual std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_nameable.html#a9893f99314de30cd472e649c235d0db4">name</a> () const</td></tr>
<tr class="memdesc:a9893f99314de30cd472e649c235d0db4 inherit pub_methods_classshark_1_1_i_nameable"><td class="mdescLeft">&#160;</td><td class="mdescRight">returns the name of the object  <br /></td></tr>
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<tr class="inherit_header pub_methods_classshark_1_1_i_parameterizable"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classshark_1_1_i_parameterizable')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classshark_1_1_i_parameterizable.html">shark::IParameterizable&lt; VectorType &gt;</a></td></tr>
<tr class="memitem:a9e3a11172e74d1aa7292f3de4e2b6ebc inherit pub_methods_classshark_1_1_i_parameterizable" id="r_a9e3a11172e74d1aa7292f3de4e2b6ebc"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_parameterizable.html#a9e3a11172e74d1aa7292f3de4e2b6ebc">~IParameterizable</a> ()</td></tr>
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<tr class="memitem:afaa2ba692ab64a0edbff60d7ee6794db inherit pub_methods_classshark_1_1_i_parameterizable" id="r_afaa2ba692ab64a0edbff60d7ee6794db"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classshark_1_1_i_parameterizable.html#a2ad5e2e60b2b352988b41f46024d790b">ParameterVectorType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_parameterizable.html#afaa2ba692ab64a0edbff60d7ee6794db">parameterVector</a> () const</td></tr>
<tr class="memdesc:afaa2ba692ab64a0edbff60d7ee6794db inherit pub_methods_classshark_1_1_i_parameterizable"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the parameter vector.  <br /></td></tr>
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<tr class="memitem:ad5e35d1a10ff36fa72ea787baa40e9ad inherit pub_methods_classshark_1_1_i_parameterizable" id="r_ad5e35d1a10ff36fa72ea787baa40e9ad"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_parameterizable.html#ad5e35d1a10ff36fa72ea787baa40e9ad">setParameterVector</a> (<a class="el" href="classshark_1_1_i_parameterizable.html#a2ad5e2e60b2b352988b41f46024d790b">ParameterVectorType</a> const &amp;newParameters)</td></tr>
<tr class="memdesc:ad5e35d1a10ff36fa72ea787baa40e9ad inherit pub_methods_classshark_1_1_i_parameterizable"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the parameter vector.  <br /></td></tr>
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<tr class="memitem:aed1e8d1d4dbde387e2f6a25141ed3a20 inherit pub_methods_classshark_1_1_i_parameterizable" id="r_aed1e8d1d4dbde387e2f6a25141ed3a20"><td class="memItemLeft" align="right" valign="top">virtual std::size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_parameterizable.html#aed1e8d1d4dbde387e2f6a25141ed3a20">numberOfParameters</a> () const</td></tr>
<tr class="memdesc:aed1e8d1d4dbde387e2f6a25141ed3a20 inherit pub_methods_classshark_1_1_i_parameterizable"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the number of parameters.  <br /></td></tr>
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<tr class="inherit_header pub_methods_classshark_1_1_i_serializable"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classshark_1_1_i_serializable')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classshark_1_1_i_serializable.html">shark::ISerializable</a></td></tr>
<tr class="memitem:a7baa9ce108d7278822297ce15882782a inherit pub_methods_classshark_1_1_i_serializable" id="r_a7baa9ce108d7278822297ce15882782a"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_serializable.html#a7baa9ce108d7278822297ce15882782a">~ISerializable</a> ()</td></tr>
<tr class="memdesc:a7baa9ce108d7278822297ce15882782a inherit pub_methods_classshark_1_1_i_serializable"><td class="mdescLeft">&#160;</td><td class="mdescRight">Virtual d'tor.  <br /></td></tr>
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<tr class="memitem:abdda0c5b8e065b8afbac2cba8f58e841 inherit pub_methods_classshark_1_1_i_serializable" id="r_abdda0c5b8e065b8afbac2cba8f58e841"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_serializable.html#abdda0c5b8e065b8afbac2cba8f58e841">load</a> (<a class="el" href="namespaceshark.html#ada68729491840669e47c8ad42282424f">InArchive</a> &amp;archive, unsigned int version)</td></tr>
<tr class="memdesc:abdda0c5b8e065b8afbac2cba8f58e841 inherit pub_methods_classshark_1_1_i_serializable"><td class="mdescLeft">&#160;</td><td class="mdescRight">Versioned loading of components, calls read(...).  <br /></td></tr>
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<tr class="memitem:a5bf66fa8db15cc529bec98976a2f5255 inherit pub_methods_classshark_1_1_i_serializable" id="r_a5bf66fa8db15cc529bec98976a2f5255"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_serializable.html#a5bf66fa8db15cc529bec98976a2f5255">save</a> (<a class="el" href="namespaceshark.html#af4f8eb8e9618f5236b71bbcb12b8a524">OutArchive</a> &amp;archive, unsigned int version) const</td></tr>
<tr class="memdesc:a5bf66fa8db15cc529bec98976a2f5255 inherit pub_methods_classshark_1_1_i_serializable"><td class="mdescLeft">&#160;</td><td class="mdescRight">Versioned storing of components, calls write(...).  <br /></td></tr>
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<tr class="memitem:a4560a94e8f4908fe8627e41e7d965735 inherit pub_methods_classshark_1_1_i_serializable" id="r_a4560a94e8f4908fe8627e41e7d965735"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_i_serializable.html#a4560a94e8f4908fe8627e41e7d965735">BOOST_SERIALIZATION_SPLIT_MEMBER</a> ()</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="pro-attribs" name="pro-attribs"></a>
Protected Attributes</h2></td></tr>
<tr class="memitem:aa13e9ab3b8bbad9e1d773468671703e6" id="r_aa13e9ab3b8bbad9e1d773468671703e6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a63fdfe8b374750b9fa8288e06a666919">Features</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classshark_1_1_abstract_kernel_function.html#aa13e9ab3b8bbad9e1d773468671703e6">m_features</a></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><div class="compoundTemplParams">template&lt;class InputTypeT&gt;<br />
class shark::AbstractKernelFunction&lt; InputTypeT &gt;</div><p>Base class of all Kernel functions. </p>
<dl class="section user"><dt></dt><dd>A (Mercer) kernel is a symmetric positive definite function of two parameters. It is (currently) used in two contexts in <a class="el" href="classshark_1_1_shark.html" title="Allows for querying compile settings at runtime. Provides the current command line arguments to the r...">Shark</a>, namely for kernel methods such as support vector machines (SVMs), and for radial basis function networks.</dd></dl>
<dl class="section user"><dt></dt><dd>In <a class="el" href="classshark_1_1_shark.html" title="Allows for querying compile settings at runtime. Provides the current command line arguments to the r...">Shark</a> a kernel function class represents a parametric family of such kernel functions: The <a class="el" href="classshark_1_1_abstract_kernel_function.html" title="Base class of all Kernel functions.">AbstractKernelFunction</a> interface inherits the <a class="el" href="classshark_1_1_i_parameterizable.html" title="Top level interface for everything that holds parameters.">IParameterizable</a> interface. </dd></dl>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00071">71</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>
</div><h2 class="groupheader">Member Typedef Documentation</h2>
<a id="adbf700c2ece7236c70cef4b88777a733" name="adbf700c2ece7236c70cef4b88777a733"></a>
<h2 class="memtitle"><span class="permalink"><a href="#adbf700c2ece7236c70cef4b88777a733">&#9670;&#160;</a></span>BatchInputType</h2>

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<p>batch input type of the kernel </p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00080">80</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#af923f26f3d015156bb5ac159b302311b">&#9670;&#160;</a></span>ConstBatchInputReference</h2>

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          <td class="memname">typedef <a class="el" href="classshark_1_1_abstract_metric.html#aded3435936965bcee46366318e37cbc9">base_type::ConstBatchInputReference</a> <a class="el" href="classshark_1_1_abstract_kernel_function.html">shark::AbstractKernelFunction</a>&lt; InputTypeT &gt;::ConstBatchInputReference</td>
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<p>Const references to BatchInputType. </p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00084">84</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a40e365cb5ec7d2776105a4aef4e78df3">&#9670;&#160;</a></span>ConstInputReference</h2>

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template&lt;class InputTypeT &gt; </div>
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          <td class="memname">typedef <a class="el" href="classshark_1_1_abstract_metric.html#ad56b88ee5dab414cc3fe71ef6a36aa19">base_type::ConstInputReference</a> <a class="el" href="classshark_1_1_abstract_kernel_function.html">shark::AbstractKernelFunction</a>&lt; InputTypeT &gt;::ConstInputReference</td>
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<p>Const references to InputType. </p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00082">82</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a619eef1551440a251e305cc6cd88d2f8">&#9670;&#160;</a></span>FeatureNotAvailableException</h2>

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          <td class="memname">typedef <a class="el" href="classshark_1_1_typed_feature_not_available_exception.html">TypedFeatureNotAvailableException</a>&lt;<a class="el" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bde">Feature</a>&gt; <a class="el" href="classshark_1_1_abstract_kernel_function.html">shark::AbstractKernelFunction</a>&lt; InputTypeT &gt;::FeatureNotAvailableException</td>
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<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00097">97</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a63fdfe8b374750b9fa8288e06a666919">&#9670;&#160;</a></span>Features</h2>

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          <td class="memname">typedef <a class="el" href="classshark_1_1_typed_flags.html">TypedFlags</a>&lt;<a class="el" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bde">Feature</a>&gt; <a class="el" href="classshark_1_1_abstract_kernel_function.html">shark::AbstractKernelFunction</a>&lt; InputTypeT &gt;::Features</td>
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<p>This statement declares the member m_features. See <a class="el" href="_flags_8h.html">Core/Flags.h</a> for details. </p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00097">97</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a808acb34b9c95c6af0f48177d554bd59">&#9670;&#160;</a></span>InputType</h2>

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<p>Input type of the Kernel. </p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00078">78</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

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<h2 class="groupheader">Member Enumeration Documentation</h2>
<a id="af54c80ca837961761506e6c2eec15bde" name="af54c80ca837961761506e6c2eec15bde"></a>
<h2 class="memtitle"><span class="permalink"><a href="#af54c80ca837961761506e6c2eec15bde">&#9670;&#160;</a></span>Feature</h2>

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          <td class="memname">enum <a class="el" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bde">shark::AbstractKernelFunction::Feature</a></td>
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<p>enumerations of kerneland metric features (flags) </p>
<table class="fieldtable">
<tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><a id="af54c80ca837961761506e6c2eec15bdead621a9ae065d91a154055a38a7ea72f8" name="af54c80ca837961761506e6c2eec15bdead621a9ae065d91a154055a38a7ea72f8"></a>HAS_FIRST_PARAMETER_DERIVATIVE&#160;</td><td class="fielddoc"><p>is the kernel differentiable w.r.t. its parameters? </p>
</td></tr>
<tr><td class="fieldname"><a id="af54c80ca837961761506e6c2eec15bdeae4bd575af084f862f64bc665cad4c4ec" name="af54c80ca837961761506e6c2eec15bdeae4bd575af084f862f64bc665cad4c4ec"></a>HAS_FIRST_INPUT_DERIVATIVE&#160;</td><td class="fielddoc"><p>is the kernel differentiable w.r.t. its inputs? </p>
</td></tr>
<tr><td class="fieldname"><a id="af54c80ca837961761506e6c2eec15bdea389ad713fc9ba77daf7a89714e5db666" name="af54c80ca837961761506e6c2eec15bdea389ad713fc9ba77daf7a89714e5db666"></a>IS_NORMALIZED&#160;</td><td class="fielddoc"><p>does k(x, x) = 1 hold for all inputs x? </p>
</td></tr>
<tr><td class="fieldname"><a id="af54c80ca837961761506e6c2eec15bdeae04fd78a7baf17b1591cdb6ef289e8d1" name="af54c80ca837961761506e6c2eec15bdeae04fd78a7baf17b1591cdb6ef289e8d1"></a>SUPPORTS_VARIABLE_INPUT_SIZE&#160;</td><td class="fielddoc"><p>Input arguments must have same size, but not the same size in different calls to eval. </p>
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<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00089">89</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

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<h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a81ed7e2e580d7967ba21d82cf8105c4c">&#9670;&#160;</a></span>AbstractKernelFunction()</h2>

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          <td class="memname"><a class="el" href="classshark_1_1_abstract_kernel_function.html">shark::AbstractKernelFunction</a>&lt; InputTypeT &gt;::AbstractKernelFunction </td>
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<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00086">86</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

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<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a9057a4a71b4d28febb171e09bbd22c07">&#9670;&#160;</a></span>createState()</h2>

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<p>Creates an internal state of the kernel. </p>
<p>The state is needed when the derivatives are to be calculated. Eval can store a state which is then reused to speed up the calculations of the derivatives. This also allows eval to be evaluated in parallel! </p>

<p>Reimplemented in <a class="el" href="classshark_1_1_a_r_d_kernel_unconstrained.html#a756d97810b5d84179e102200c433a13e">shark::ARDKernelUnconstrained&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_discrete_kernel.html#ac4ad2a25a3846fc24daa142790d15e67">shark::DiscreteKernel</a>, <a class="el" href="classshark_1_1_gaussian_rbf_kernel.html#a5104097639bdf4b8105c548144e87e50">shark::GaussianRbfKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_linear_kernel.html#ac46b5d8fa1d529a9b91b1f7a139454f6">shark::LinearKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_model_kernel.html#a3608a4bdd1288a8a96a323995a5cb261">shark::ModelKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_monomial_kernel.html#a2f49cf121f768ed37f5c945ebe80a279">shark::MonomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#aa438ef5e9b9e54da9ba0de32ee02666b">shark::NormalizedKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_point_set_kernel.html#add8df8653ba9dd2adfcaac7e5c44afac">shark::PointSetKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_polynomial_kernel.html#a6e19c738faff1a554846ece7327abb70">shark::PolynomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#a8ea7e45b7d287c3e15968937c5076d17">shark::ScaledKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_weighted_sum_kernel.html#a8f5c7a811096153b2cc2add881ea3b41">shark::WeightedSumKernel&lt; InputType &gt;</a>, and <a class="el" href="classshark_1_1_weighted_sum_kernel.html#a8f5c7a811096153b2cc2add881ea3b41">shark::WeightedSumKernel&lt; InputType &gt;</a>.</p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00118">118</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_kernel_function.html#a505ca00275044073f08aae949127a76f">shark::AbstractKernelFunction&lt; InputTypeT &gt;::hasFirstInputDerivative()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#ac0c799ac75db64200256ed50d34d2411">shark::AbstractKernelFunction&lt; InputTypeT &gt;::hasFirstParameterDerivative()</a>, and <a class="el" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>.</p>

<p class="reference">Referenced by <a class="el" href="group__kernels.html#gafb6b639ff5daa090b08b13e97e78a7bc">shark::calculateKernelMatrixParameterDerivative()</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#a8ea7e45b7d287c3e15968937c5076d17">shark::ScaledKernel&lt; InputType &gt;::createState()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#abfb9bc53f137dc1e28bf875e8851c26b">shark::AbstractKernelFunction&lt; InputTypeT &gt;::eval()</a>, <a class="el" href="classshark_1_1_kernel_target_alignment.html#ad1f1d75eea4b7a91498a4b62972b4efb">shark::KernelTargetAlignment&lt; InputType, LabelType &gt;::evalDerivative()</a>, and <a class="el" href="classshark_1_1_c_svm_derivative.html#a2e46e908d670b88e6e5ab32f3482e7d8">shark::CSvmDerivative&lt; InputType, CacheType &gt;::modelCSvmParameterDerivative()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#abfb9bc53f137dc1e28bf875e8851c26b">&#9670;&#160;</a></span>eval() <span class="overload">[1/3]</span></h2>

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          <td class="memname">virtual void <a class="el" href="classshark_1_1_abstract_kernel_function.html">shark::AbstractKernelFunction</a>&lt; InputTypeT &gt;::eval </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a>&#160;</td>
          <td class="paramname"><em>batchX1</em>, </td>
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          <td></td>
          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a>&#160;</td>
          <td class="paramname"><em>batchX2</em>, </td>
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          <td class="paramtype">RealMatrix &amp;&#160;</td>
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<p>Evaluates the subset of the KernelGram matrix which is defined by X1(rows) and X2 (columns). </p>
<p>The result matrix is filled in with the values result(i,j) = kernel(x1[i], x2[j]); </p>

<p>Reimplemented in <a class="el" href="classshark_1_1_discrete_kernel.html#aa3df2e3e9828ad02b782546af55ffa49">shark::DiscreteKernel</a>, <a class="el" href="classshark_1_1_product_kernel.html#ab08947e82b49dcbdbac55c1f41246003">shark::ProductKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_product_kernel.html#ab08947e82b49dcbdbac55c1f41246003">shark::ProductKernel&lt; MultiTaskSample&lt; InputTypeT &gt; &gt;</a>, and <a class="el" href="classshark_1_1_weighted_sum_kernel.html#a2b481f814c6863916b53c9c8918e8bec">shark::WeightedSumKernel&lt; InputType &gt;</a>.</p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00154">154</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_kernel_function.html#a9057a4a71b4d28febb171e09bbd22c07">shark::AbstractKernelFunction&lt; InputTypeT &gt;::createState()</a>, and <a class="el" href="classshark_1_1_abstract_kernel_function.html#abd10e3815efade90c7f9e2a7cc8bcb6c">shark::AbstractKernelFunction&lt; InputTypeT &gt;::eval()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#af9edfdfdd3cbee76f67f47cf244f8b3b">&#9670;&#160;</a></span>eval() <span class="overload">[2/3]</span></h2>

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          <td class="memname">virtual void <a class="el" href="classshark_1_1_abstract_kernel_function.html">shark::AbstractKernelFunction</a>&lt; InputTypeT &gt;::eval </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a>&#160;</td>
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          <td></td>
          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a>&#160;</td>
          <td class="paramname"><em>batchX2</em>, </td>
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          <td class="paramtype"><a class="el" href="structshark_1_1_state.html">State</a> &amp;&#160;</td>
          <td class="paramname"><em>state</em>&#160;</td>
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<p>Evaluates the subset of the KernelGram matrix which is defined by X1(rows) and X2 (columns). </p>
<p>The result matrix is filled in with the values result(i,j) = kernel(x1[i], x2[j]); The <a class="el" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a> object is filled in with data used in subsequent derivative computations. </p>

<p>Implemented in <a class="el" href="classshark_1_1_discrete_kernel.html#a90793c8b9e5ff4988d58173d43970872">shark::DiscreteKernel</a>, <a class="el" href="classshark_1_1_product_kernel.html#ae5a2c2aa97baf5a481ca80c2f61b3a10">shark::ProductKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_product_kernel.html#ae5a2c2aa97baf5a481ca80c2f61b3a10">shark::ProductKernel&lt; MultiTaskSample&lt; InputTypeT &gt; &gt;</a>, and <a class="el" href="classshark_1_1_weighted_sum_kernel.html#ad58a7538e994a5d0a0b5d49e7d582f87">shark::WeightedSumKernel&lt; InputType &gt;</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#abd10e3815efade90c7f9e2a7cc8bcb6c">&#9670;&#160;</a></span>eval() <span class="overload">[3/3]</span></h2>

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          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3">ConstInputReference</a>&#160;</td>
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          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3">ConstInputReference</a>&#160;</td>
          <td class="paramname"><em>x2</em>&#160;</td>
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<p>Evaluates the kernel function. </p>

<p>Reimplemented in <a class="el" href="classshark_1_1_discrete_kernel.html#a1b672aa49b9991f3bfda3d9d1d8b0619">shark::DiscreteKernel</a>, <a class="el" href="classshark_1_1_product_kernel.html#a96625b7eefde13ab0c7cc4f876988e8a">shark::ProductKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_product_kernel.html#a96625b7eefde13ab0c7cc4f876988e8a">shark::ProductKernel&lt; MultiTaskSample&lt; InputTypeT &gt; &gt;</a>, and <a class="el" href="classshark_1_1_weighted_sum_kernel.html#a41a6851266bc6808f2e271e764989349">shark::WeightedSumKernel&lt; InputType &gt;</a>.</p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00128">128</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_kernel_function.html#abd10e3815efade90c7f9e2a7cc8bcb6c">shark::AbstractKernelFunction&lt; InputTypeT &gt;::eval()</a>, and <a class="el" href="namespaceshark.html#a1531880b9b4076854b0b26441d353242">shark::getBatchElement()</a>.</p>

<p class="reference">Referenced by <a class="el" href="group__kernels.html#gafb6b639ff5daa090b08b13e97e78a7bc">shark::calculateKernelMatrixParameterDerivative()</a>, <a class="el" href="classshark_1_1_gaussian_task_kernel.html#aefbd61ad0c2f8c4adb06669bd49a41f1">shark::GaussianTaskKernel&lt; InputTypeT &gt;::computeMatrix()</a>, <a class="el" href="classshark_1_1_kernel_matrix.html#ac3cfe068368969d7cdc5a84e64edf416">shark::KernelMatrix&lt; InputType, CacheType &gt;::entry()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#abfb9bc53f137dc1e28bf875e8851c26b">shark::AbstractKernelFunction&lt; InputTypeT &gt;::eval()</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#a1d8a667049dc813d8ce1c7f89f4b7f08">shark::NormalizedKernel&lt; InputType &gt;::eval()</a>, <a class="el" href="classshark_1_1_point_set_kernel.html#ac5a66a31e62adca73217e55a4217f324">shark::PointSetKernel&lt; InputType &gt;::eval()</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#a766bf8a238a55a1bdc08886133526a29">shark::NormalizedKernel&lt; InputType &gt;::eval()</a>, <a class="el" href="classshark_1_1_point_set_kernel.html#adfef05b52b18fb9fb8988e9585e2ff71">shark::PointSetKernel&lt; InputType &gt;::eval()</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#a7f53eaf21702a5378fa499d50f7aaf12">shark::ScaledKernel&lt; InputType &gt;::eval()</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#a2cbbeef99432522d721f48e9aa62ba8e">shark::ScaledKernel&lt; InputType &gt;::eval()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#abd10e3815efade90c7f9e2a7cc8bcb6c">shark::AbstractKernelFunction&lt; InputTypeT &gt;::eval()</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#aa6ff3743633aeb4bae2ccac7028cadb7">shark::NormalizedKernel&lt; InputType &gt;::eval()</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#afc59d0d0d69706360cfd5b30bbd10a0e">shark::ScaledKernel&lt; InputType &gt;::eval()</a>, <a class="el" href="classshark_1_1_kernel_target_alignment.html#ad1f1d75eea4b7a91498a4b62972b4efb">shark::KernelTargetAlignment&lt; InputType, LabelType &gt;::evalDerivative()</a>, <a class="el" href="group__kernels.html#ga686904ecf2fd8e7d8c1d6799c403afb9">shark::evalSkipMissingFeatures()</a>, <a class="el" href="group__kernels.html#ga42e81553c9f2aab48ba4a8a3ae37fe6c">shark::evalSkipMissingFeatures()</a>, <a class="el" href="group__shark__globals.html#gaff457dd5765f70c216e99daa8729f653">shark::exportKernelMatrix()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#a5abde1fffe84a51cb07c2242eef632ef">shark::AbstractKernelFunction&lt; InputTypeT &gt;::featureDistanceSqr()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#a4526b02196952d7af3bc76633c8bd6b7">shark::AbstractKernelFunction&lt; InputTypeT &gt;::featureDistanceSqr()</a>, <a class="el" href="classshark_1_1_k_h_c_tree.html#a98f61360f2c9a9a6ebc9b9ad995c77a7">shark::KHCTree&lt; Container, CuttingAccuracy &gt;::funct()</a>, <a class="el" href="classshark_1_1_c_svm_derivative.html#a2e46e908d670b88e6e5ab32f3482e7d8">shark::CSvmDerivative&lt; InputType, CacheType &gt;::modelCSvmParameterDerivative()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#a2d5586ade0c39f0513c8e53ec5f99ed6">shark::AbstractKernelFunction&lt; InputTypeT &gt;::operator()()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#a187783089e5ee24875e43b8865b1a46e">shark::AbstractKernelFunction&lt; InputTypeT &gt;::operator()()</a>, <a class="el" href="classshark_1_1_merge_budget_maintenance_strategy_3_01_real_vector_01_4.html#a50f9819caf20e6bedad5e6735e5db2e0">shark::MergeBudgetMaintenanceStrategy&lt; RealVector &gt;::reduceBudget()</a>, <a class="el" href="classshark_1_1_kernel_matrix.html#a3ebcd91ea57f440376d14741e7697c6d">shark::KernelMatrix&lt; InputType, CacheType &gt;::row()</a>, and <a class="el" href="classshark_1_1_kernel_mean_classifier.html#a81f1f20f6bedb854fab0193d3174dac2">shark::KernelMeanClassifier&lt; InputType &gt;::train()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a5abde1fffe84a51cb07c2242eef632ef">&#9670;&#160;</a></span>featureDistanceSqr() <span class="overload">[1/2]</span></h2>

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          <td>(</td>
          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a>&#160;</td>
          <td class="paramname"><em>x1</em>, </td>
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          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a>&#160;</td>
          <td class="paramname"><em>x2</em>&#160;</td>
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<p>Computes the squared distance in the kernel induced feature space. </p>

<p>Implements <a class="el" href="classshark_1_1_abstract_metric.html#a249ddd25ea56bc592ea2f8386070714d">shark::AbstractMetric&lt; InputTypeT &gt;</a>.</p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00214">214</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">References <a class="el" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">shark::batchSize()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#abd10e3815efade90c7f9e2a7cc8bcb6c">shark::AbstractKernelFunction&lt; InputTypeT &gt;::eval()</a>, <a class="el" href="namespaceshark.html#a1531880b9b4076854b0b26441d353242">shark::getBatchElement()</a>, and <a class="el" href="classshark_1_1_abstract_kernel_function.html#a3b60def6354aac30a9c2ce5bffa6f9ae">shark::AbstractKernelFunction&lt; InputTypeT &gt;::isNormalized()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a4526b02196952d7af3bc76633c8bd6b7">&#9670;&#160;</a></span>featureDistanceSqr() <span class="overload">[2/2]</span></h2>

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          <td class="memname">virtual double <a class="el" href="classshark_1_1_abstract_kernel_function.html">shark::AbstractKernelFunction</a>&lt; InputTypeT &gt;::featureDistanceSqr </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3">ConstInputReference</a>&#160;</td>
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          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3">ConstInputReference</a>&#160;</td>
          <td class="paramname"><em>x2</em>&#160;</td>
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<p>Computes the squared distance in the kernel induced feature space. </p>

<p>Implements <a class="el" href="classshark_1_1_abstract_metric.html#a249ddd25ea56bc592ea2f8386070714d">shark::AbstractMetric&lt; InputTypeT &gt;</a>.</p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00202">202</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_kernel_function.html#abd10e3815efade90c7f9e2a7cc8bcb6c">shark::AbstractKernelFunction&lt; InputTypeT &gt;::eval()</a>, and <a class="el" href="classshark_1_1_abstract_kernel_function.html#a3b60def6354aac30a9c2ce5bffa6f9ae">shark::AbstractKernelFunction&lt; InputTypeT &gt;::isNormalized()</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_k_h_c_tree.html#a3af2b2683dfe8b119f248e54c1c5d044">shark::KHCTree&lt; Container, CuttingAccuracy &gt;::calculateNormal()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#ad813e7a91adf505e31224fba2e0ee8d1">&#9670;&#160;</a></span>features()</h2>

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          <td class="memname">const <a class="el" href="classshark_1_1_abstract_kernel_function.html#a63fdfe8b374750b9fa8288e06a666919">Features</a> &amp; <a class="el" href="classshark_1_1_abstract_kernel_function.html">shark::AbstractKernelFunction</a>&lt; InputTypeT &gt;::features </td>
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<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00097">97</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a505ca00275044073f08aae949127a76f">&#9670;&#160;</a></span>hasFirstInputDerivative()</h2>

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<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00102">102</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bdeae4bd575af084f862f64bc665cad4c4ec">shark::AbstractKernelFunction&lt; InputTypeT &gt;::HAS_FIRST_INPUT_DERIVATIVE</a>, and <a class="el" href="classshark_1_1_abstract_kernel_function.html#aa13e9ab3b8bbad9e1d773468671703e6">shark::AbstractKernelFunction&lt; InputTypeT &gt;::m_features</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_abstract_kernel_function.html#a9057a4a71b4d28febb171e09bbd22c07">shark::AbstractKernelFunction&lt; InputTypeT &gt;::createState()</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#ab967fe200113b33b7491e087bf3553dc">shark::NormalizedKernel&lt; InputType &gt;::NormalizedKernel()</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#a8d5c8bd1b104f323b14c6f8178fe00b1">shark::ScaledKernel&lt; InputType &gt;::ScaledKernel()</a>, and <a class="el" href="classshark_1_1_weighted_sum_kernel.html#aee096c1b04abdeb6cc2bdd5a5b01ea17">shark::WeightedSumKernel&lt; InputType &gt;::WeightedSumKernel()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#ac0c799ac75db64200256ed50d34d2411">&#9670;&#160;</a></span>hasFirstParameterDerivative()</h2>

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<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00099">99</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bdead621a9ae065d91a154055a38a7ea72f8">shark::AbstractKernelFunction&lt; InputTypeT &gt;::HAS_FIRST_PARAMETER_DERIVATIVE</a>, and <a class="el" href="classshark_1_1_abstract_kernel_function.html#aa13e9ab3b8bbad9e1d773468671703e6">shark::AbstractKernelFunction&lt; InputTypeT &gt;::m_features</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_abstract_kernel_function.html#a9057a4a71b4d28febb171e09bbd22c07">shark::AbstractKernelFunction&lt; InputTypeT &gt;::createState()</a>, <a class="el" href="classshark_1_1_negative_gaussian_process_evidence.html#a3de0372ab79585993728bfd7dbb60438">shark::NegativeGaussianProcessEvidence&lt; InputType, OutputType, LabelType &gt;::NegativeGaussianProcessEvidence()</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#ab967fe200113b33b7491e087bf3553dc">shark::NormalizedKernel&lt; InputType &gt;::NormalizedKernel()</a>, <a class="el" href="classshark_1_1_point_set_kernel.html#aacab68230104cfe226d522632b42082c">shark::PointSetKernel&lt; InputType &gt;::PointSetKernel()</a>, <a class="el" href="classshark_1_1_radius_margin_quotient.html#aca26f45e233b839060e16d49bf27d72b">shark::RadiusMarginQuotient&lt; InputType, CacheType &gt;::RadiusMarginQuotient()</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#a8d5c8bd1b104f323b14c6f8178fe00b1">shark::ScaledKernel&lt; InputType &gt;::ScaledKernel()</a>, <a class="el" href="classshark_1_1_svm_logistic_interpretation.html#acd0536c312b58338f044a8d655d8739a">shark::SvmLogisticInterpretation&lt; InputType &gt;::SvmLogisticInterpretation()</a>, and <a class="el" href="classshark_1_1_weighted_sum_kernel.html#aee096c1b04abdeb6cc2bdd5a5b01ea17">shark::WeightedSumKernel&lt; InputType &gt;::WeightedSumKernel()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a3b60def6354aac30a9c2ce5bffa6f9ae">&#9670;&#160;</a></span>isNormalized()</h2>

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<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00105">105</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bdea389ad713fc9ba77daf7a89714e5db666">shark::AbstractKernelFunction&lt; InputTypeT &gt;::IS_NORMALIZED</a>, and <a class="el" href="classshark_1_1_abstract_kernel_function.html#aa13e9ab3b8bbad9e1d773468671703e6">shark::AbstractKernelFunction&lt; InputTypeT &gt;::m_features</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_product_kernel.html#ae1a781a38a1a31476a4308280a0d3ea4">shark::ProductKernel&lt; InputType &gt;::addKernel()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#a5abde1fffe84a51cb07c2242eef632ef">shark::AbstractKernelFunction&lt; InputTypeT &gt;::featureDistanceSqr()</a>, and <a class="el" href="classshark_1_1_abstract_kernel_function.html#a4526b02196952d7af3bc76633c8bd6b7">shark::AbstractKernelFunction&lt; InputTypeT &gt;::featureDistanceSqr()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a2d5586ade0c39f0513c8e53ec5f99ed6">&#9670;&#160;</a></span>operator()() <span class="overload">[1/2]</span></h2>

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          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">ConstBatchInputReference</a>&#160;</td>
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<p>Evaluates the subset of the KernelGram matrix which is defined by X1(rows) and X2 (columns). </p>
<p>Convenience operator. The result matrix is filled in with the values result(i,j) = kernel(x1[i], x2[j]); </p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00163">163</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_kernel_function.html#abd10e3815efade90c7f9e2a7cc8bcb6c">shark::AbstractKernelFunction&lt; InputTypeT &gt;::eval()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a187783089e5ee24875e43b8865b1a46e">&#9670;&#160;</a></span>operator()() <span class="overload">[2/2]</span></h2>

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          <td class="paramtype"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3">ConstInputReference</a>&#160;</td>
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<p>Convenience operator which evaluates the kernel function. </p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00139">139</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_kernel_function.html#abd10e3815efade90c7f9e2a7cc8bcb6c">shark::AbstractKernelFunction&lt; InputTypeT &gt;::eval()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a225fbad3a0efdac21e4422576de2ce4e">&#9670;&#160;</a></span>supportsVariableInputSize()</h2>

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<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00108">108</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_kernel_function.html#aa13e9ab3b8bbad9e1d773468671703e6">shark::AbstractKernelFunction&lt; InputTypeT &gt;::m_features</a>, and <a class="el" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bdeae04fd78a7baf17b1591cdb6ef289e8d1">shark::AbstractKernelFunction&lt; InputTypeT &gt;::SUPPORTS_VARIABLE_INPUT_SIZE</a>.</p>

<p class="reference">Referenced by <a class="el" href="group__kernels.html#ga686904ecf2fd8e7d8c1d6799c403afb9">shark::evalSkipMissingFeatures()</a>, and <a class="el" href="group__kernels.html#ga42e81553c9f2aab48ba4a8a3ae37fe6c">shark::evalSkipMissingFeatures()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a6e65f245e63e075562917986673b99af">&#9670;&#160;</a></span>updateFeatures()</h2>

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<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00097">97</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#af534a7a45f73baab879c2f0bfb75f00a">&#9670;&#160;</a></span>weightedInputDerivative()</h2>

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          <td class="paramname"><em>gradient</em>&#160;</td>
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<p>Calculates the derivative of the inputs X1 (only x1!). </p>
<p>The i-th row of the resulting matrix is a weighted sum of the form: c[i,0] * k'(x1[i], x2[0]) + c[i,1] * k'(x1[i], x2[1]) + ... + c[i,n] * k'(x1[i], x2[n]).</p>
<p>The default implementation throws a "not implemented" exception. </p>

<p>Reimplemented in <a class="el" href="classshark_1_1_weighted_sum_kernel.html#ac85e0509d78aeb0909c9a4b3876eb94f">shark::WeightedSumKernel&lt; InputType &gt;</a>.</p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00188">188</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bdeae4bd575af084f862f64bc665cad4c4ec">shark::AbstractKernelFunction&lt; InputTypeT &gt;::HAS_FIRST_INPUT_DERIVATIVE</a>, and <a class="el" href="_flags_8h.html#a6e41326253dee198183b5cbde3570c6c">SHARK_FEATURE_EXCEPTION</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_scaled_kernel.html#a27d1b92e9651b938feb3f61938f0d92f">shark::ScaledKernel&lt; InputType &gt;::weightedInputDerivative()</a>, and <a class="el" href="classshark_1_1_normalized_kernel.html#a78299d1e57af5a48afab449ad248f80f">shark::NormalizedKernel&lt; InputType &gt;::weightedInputDerivative()</a>.</p>

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<h2 class="memtitle"><span class="permalink"><a href="#a48557b9834bc06ccb4e005ce441904c8">&#9670;&#160;</a></span>weightedParameterDerivative()</h2>

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          <td class="paramtype"><a class="el" href="structshark_1_1_state.html">State</a> const &amp;&#160;</td>
          <td class="paramname"><em>state</em>, </td>
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          <td class="paramtype">RealVector &amp;&#160;</td>
          <td class="paramname"><em>gradient</em>&#160;</td>
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          <td>)</td>
          <td></td><td> const</td>
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<p>Computes the gradient of the parameters as a weighted sum over the gradient of all elements of the batch. </p>
<p>The default implementation throws a "not implemented" exception. </p>

<p>Reimplemented in <a class="el" href="classshark_1_1_weighted_sum_kernel.html#a32e469b9516edfadd503609e68c2ab4a">shark::WeightedSumKernel&lt; InputType &gt;</a>.</p>

<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00172">172</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">References <a class="el" href="classshark_1_1_abstract_kernel_function.html#af54c80ca837961761506e6c2eec15bdead621a9ae065d91a154055a38a7ea72f8">shark::AbstractKernelFunction&lt; InputTypeT &gt;::HAS_FIRST_PARAMETER_DERIVATIVE</a>, and <a class="el" href="_flags_8h.html#a6e41326253dee198183b5cbde3570c6c">SHARK_FEATURE_EXCEPTION</a>.</p>

<p class="reference">Referenced by <a class="el" href="group__kernels.html#gafb6b639ff5daa090b08b13e97e78a7bc">shark::calculateKernelMatrixParameterDerivative()</a>, <a class="el" href="classshark_1_1_kernel_target_alignment.html#ad1f1d75eea4b7a91498a4b62972b4efb">shark::KernelTargetAlignment&lt; InputType, LabelType &gt;::evalDerivative()</a>, <a class="el" href="classshark_1_1_c_svm_derivative.html#a2e46e908d670b88e6e5ab32f3482e7d8">shark::CSvmDerivative&lt; InputType, CacheType &gt;::modelCSvmParameterDerivative()</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#aa0f2ea06b6721fdb90cc6324e1254e91">shark::ScaledKernel&lt; InputType &gt;::weightedParameterDerivative()</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#a3e93a1c512126fb0ad7d098dc7c03eb7">shark::NormalizedKernel&lt; InputType &gt;::weightedParameterDerivative()</a>, and <a class="el" href="classshark_1_1_point_set_kernel.html#ae18f754e67f7b59cade8e26437a1cf39">shark::PointSetKernel&lt; InputType &gt;::weightedParameterDerivative()</a>.</p>

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<h2 class="groupheader">Member Data Documentation</h2>
<a id="aa13e9ab3b8bbad9e1d773468671703e6" name="aa13e9ab3b8bbad9e1d773468671703e6"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aa13e9ab3b8bbad9e1d773468671703e6">&#9670;&#160;</a></span>m_features</h2>

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<div class="memtemplate">
template&lt;class InputTypeT &gt; </div>
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          <td class="memname"><a class="el" href="classshark_1_1_abstract_kernel_function.html#a63fdfe8b374750b9fa8288e06a666919">Features</a> <a class="el" href="classshark_1_1_abstract_kernel_function.html">shark::AbstractKernelFunction</a>&lt; InputTypeT &gt;::m_features</td>
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<span class="mlabels"><span class="mlabel">protected</span></span>  </td>
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<p class="definition">Definition at line <a class="el" href="_abstract_kernel_function_8h_source.html#l00097">97</a> of file <a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a>.</p>

<p class="reference">Referenced by <a class="el" href="classshark_1_1_a_r_d_kernel_unconstrained.html#aec9b075b05db8e7c15ba3ce4f9ad6d1d">shark::ARDKernelUnconstrained&lt; InputType &gt;::ARDKernelUnconstrained()</a>, <a class="el" href="classshark_1_1_gaussian_rbf_kernel.html#a9c88ec01375ff1ffbf6b55d812c82107">shark::GaussianRbfKernel&lt; InputType &gt;::GaussianRbfKernel()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#a505ca00275044073f08aae949127a76f">shark::AbstractKernelFunction&lt; InputTypeT &gt;::hasFirstInputDerivative()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#ac0c799ac75db64200256ed50d34d2411">shark::AbstractKernelFunction&lt; InputTypeT &gt;::hasFirstParameterDerivative()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#a3b60def6354aac30a9c2ce5bffa6f9ae">shark::AbstractKernelFunction&lt; InputTypeT &gt;::isNormalized()</a>, <a class="el" href="classshark_1_1_linear_kernel.html#a1e5f7efc56dc2f75895fea4f7ea2a779">shark::LinearKernel&lt; InputType &gt;::LinearKernel()</a>, <a class="el" href="classshark_1_1_model_kernel.html#af71afc0fec1e47abcdaa1a64a6504090">shark::ModelKernel&lt; InputType &gt;::ModelKernel()</a>, <a class="el" href="classshark_1_1_monomial_kernel.html#a805b59b34396af06ba8460ab30c39c5b">shark::MonomialKernel&lt; InputType &gt;::MonomialKernel()</a>, <a class="el" href="classshark_1_1_monomial_kernel.html#a023ef4e718e15b24ee5c5f49a3670d49">shark::MonomialKernel&lt; InputType &gt;::MonomialKernel()</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#ab967fe200113b33b7491e087bf3553dc">shark::NormalizedKernel&lt; InputType &gt;::NormalizedKernel()</a>, <a class="el" href="classshark_1_1_point_set_kernel.html#aacab68230104cfe226d522632b42082c">shark::PointSetKernel&lt; InputType &gt;::PointSetKernel()</a>, <a class="el" href="classshark_1_1_polynomial_kernel.html#a94c0a51488a514cccc7db38afce0cbe8">shark::PolynomialKernel&lt; InputType &gt;::PolynomialKernel()</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#a8d5c8bd1b104f323b14c6f8178fe00b1">shark::ScaledKernel&lt; InputType &gt;::ScaledKernel()</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#a225fbad3a0efdac21e4422576de2ce4e">shark::AbstractKernelFunction&lt; InputTypeT &gt;::supportsVariableInputSize()</a>, and <a class="el" href="classshark_1_1_weighted_sum_kernel.html#aee096c1b04abdeb6cc2bdd5a5b01ea17">shark::WeightedSumKernel&lt; InputType &gt;::WeightedSumKernel()</a>.</p>

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<hr/>The documentation for this class was generated from the following file:<ul>
<li>include/shark/Models/Kernels/<a class="el" href="_abstract_kernel_function_8h_source.html">AbstractKernelFunction.h</a></li>
</ul>
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